Plotly Fundamentals
Learn how Plotly figures are structured and different ways to produce them with plotly express and plotly graph objects. Access and manipulate their attributes using the Plotly API.
Histograms and Scatterplots form the basis of any data analytics package. Learn how to leverage them with additional features such as marginal plots, dist plots, scatter matrices and more.
Placing multiple charts in a single plot lets you show relations in your data data otherwise might be difficult to make visible. With cross filtering and custom grids you can even produce simple dashboards with only a few lines of code.
Especially in scientific applications it is often useful to present your data in three dimensions. Plotly offers useful tools to easily achieve this while offering the full set of features available for other chart types.
Map plots are used in a wide field of applications such as economics, finance, social sciences, politics, history and many many more. The Plotly API offers easy to use pre built maps without the need for external access keys and inclusion of other packages.
Dop-Downs, Buttons, Sliders and other custom elements complement t the quite extensive arsenal of interactive features Plotly provides with every produced chart. With custom controls you are able to explore data sets in a natural way without the need to change code.
Plotly brings your charts to live with an easy to use interface producing frame by frame animations of the evolution of your data over a period of time or along other dimensions.